Custom software for Tulsa — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Tulsa's energy, midstream, and B2B operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Tulsa anchors a strong energy market — home to Williams Companies, ONEOK, NORDAM, and a growing B2B SaaS, fintech, and logistics scene around the Tulsa Innovation Labs ecosystem. Senior hires are six figures, months out, and picked over by midstream operators, aerospace employers, and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
On a Tulsa energy, midstream, or operations build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part field operators, midstream control rooms, or your compliance lead will catch: late-arriving SCADA data, gas-measurement calculations that drift across boundary conditions, idempotency on field-data webhooks, and integration with bespoke midstream systems AI invents instead of reads. Raw AI output ships those silently.
We build for Tulsa operators — midstream and pipeline field-ops apps, sensor and SCADA pipelines, aerospace tools shipping into program milestones, B2B SaaS shipping to regional and ag-economy buyers, and modernization of decades-old enterprise stacks. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.
AI writes the first draft. A senior engineer signs off.
Every change runs through review for security, tests, and architecture before it ships — that review is the product.
const draft = await ai.generate(spec) // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: gas-measurement calculation uses floats on a settlement quantity → fixed-point + boundary test// ✓ merged: event-sourced midstream pipeline state with replay, audit-logged write on regulated operationsOn a Tulsa midstream or industrial build, the failure modes are float-math on measured quantities, late SCADA data, and silent state corruption. Senior review catches them before a measurement dispute or a control-room alarm does.
What we build for Tulsa companies.
Energy & operations software
Field-ops apps, sensor pipelines, and asset-management platforms for upstream, midstream, and renewables.
Supply-chain & ops platforms
Routing, dispatch, inventory, and visibility tools that replace clipboards and spreadsheets.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
Modernization
Move legacy systems onto a modern, maintainable stack — incrementally, no big-bang.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
A senior team that moves at AI speed.
You work with senior engineers in Central Time who understand midstream and industrial data realities — fitting into a downtown Tulsa energy-IT cadence, a midtown SaaS standup, or a Broken Arrow B2B PR review — not a junior pool dropping raw AI output on top of your pipeline.
Tulsa's senior engineering pool is concentrated around midstream operators, aerospace employers, and a smaller venture-backed bench — three-to-six months to hire and quietly poached by remote coastal roles. An AI-native team gets you shipping this week, scales with your project, and doesn't need a downtown Tulsa office.
Talk to an engineerTraditional Tulsa dev shop vs. AI-native.
| Traditional Agency | DEV.co (AI-native) | |
|---|---|---|
| Time to working software | Months | Days to weeks |
| Cost | Full senior rates, all hours | Lower — AI removes the rote work |
| Code quality | Good (if senior) | Same bar — every change reviewed |
| AI risk | — | Contained by senior review + tests |
| You own the code | Usually | Always — full repo on day one |
| Scales with you | Slow to staff up | Flex up or down monthly |
Common questions from Tulsa teams.
Do you work with Tulsa companies?
Do you work with midstream, pipeline, and SCADA systems?
Can you build for measurement, allocation, and contract accounting?
Is AI-built software production-ready?
Will we own the code?
How fast can we start?
Can you work with our existing team?
Let's build it — Tulsa.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and tell you whether AI-native is the right fit for your build.